Models and Components for Semantic Web Service
Discovery
and Composition Based on Soft Computing Techniques and Methodologies

Abstract:

The primary objective of this
project is to build up alternative models and approaches for the Semantic
Web Service usage process based on investigation and the application of soft
computing techniques as well as Automatic Control (Control Theory)
methods to special phases of the Semantic Web Service cycle.

The Semantic Web Service area deals
with hard semantics in the description and manipulation of crisp
data. It does not have the capability to process soft semantics. As
long as it will be used bivalent-based logical methods there will be no
progress in handling ill-structured, uncertain and imprecise information,
frequently encountered in real world knowledge.

At present there exist several
initiatives in the Semantic Web Service area, whereas the WSMO, the OWL-S as
well as the RDF-S stream might be the more effective ones. In this initiatives the use of formally and crisply defined
ontologies and the use of crisp descriptions languages as well as F-Logic and
FOL has to be stated. The initiatives do not consider sufficiently the
implicitly given non-precision and non-accuracy of real world scenarios
and applications.

The investigation, research and
application work of the current project will comprise a set of soft computing
methods and Automatic Control techniques: Fuzzy Logic methods (Fuzzy Control),
Fuzzy Description Logic and Inferencing, Approximate
Reasoning techniques, methods exploiting Implicit Semantics and Automatic
Control techniques like cascaded control loops (composed services) closed loop
based fault detection.

It will be investigated in which
degree this methods and techniques can be applied to the Semantic Web
Service cycle.

The investigation and software realisation
efforts will be specifically focused on operations in Semantic Web Service discovery
and selection as well as in data / process mediation operations in
Semantic Web Service composition.

The objectives for this project are
to investigate and to develop a modeling framework and to achieve
by system level integration of software components for Semantic Web
Service discovery, composition and mediation.